Applications - Health
Members
Description
Aplicación de modelos de clasificación para el área de Salud.
Publications
- Deep Ordinal Classification Based on the Proportional Odds Model
- Clasificación ordinal de los grados de afectación de la enfermedad de Parkinson empleando imágenes de transportadores presinápticos de dopamina
- Image classification of synaptic dopamine transporters 123I-Ioflupane by machine learning techniques
- Clasificación de imágenes de transportadores sinápticos de dopamina con 123I-Ioflupano mediante técnicas de aprendizaje automático
- Estimating rodent brain volume by a deformable contour model
- ICBrain: Software para cálculo del volumen de infarto cerebral provocado en roedores
- Sistema automático para el cálculo de volumen de infarto cerebral a partir de imágenes de resonancia magnética
- A multi-level analysis of the relationship between spatial clusters of outpatient-treated depression, risk factors and mental health service planning in Catalonia (Spain).
- Machine learning decomposition models for partial ordering problems: An application to melanoma severity classification
- Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images
- Changes in socioeconomic determinants of health: comparing the effect of social and economic indicators through European welfare state regimes.
- Permanent Disability Classification by Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods
- Permanent Disability Classification using Hybrid Neuro-Logistic Regression Models
- Ordinal classification of depression spatial hot-spots of prevalence
- Spatial Identification of Hot and Cold Spots for the Prevalence of Schizophrenia and Depression
- Spatial Analysis of Schizophrenia Prevalence Using a Multiobjective Evolutionary Algorithm
- Integrating clinicians, knowledge and data: expert-based cooperative analysis in healthcare decision support
- Development of a new spatial analysis tool in Mental Health: Identification of highly autocorrelated areas (hot-spots) of schizophrenia using a Multiobjective Evolutionary Algorithm model (MOEA/HS)
